Francesco Gregoretti

413 citations
33 papers · 269 · h-index 10

Impact in

Papers in

Francesco Gregoretti

33 papers receiving 254 citations

Peers

Francesco Gregoretti
Comparison fields: 5 of 44
  • Hardware and Architecture 55
  • Computer Networks and Communications 99
  • Computer Vision and Pattern Recognition 75
  • Software 12
  • Electrical and Electronic Engineering 128
Replace D.C. da Silva with:
D.C. da Silva Brazil
Màrius Montón Spain
Theerayod Wiangtong Thailand
Jai-Hoon Kim South Korea
R. V. Kshirsagar India
Ramèz M. Daoud Egypt
Vicent Sanz Marco United Kingdom
Ahmed Al Maashri Oman
Sébastien Lafond Finland
Raj Rajkumar United States
Francesco Gregoretti relative to D.C. da Silva Brazil D.C. da Silva's profile →
Citations per field
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D.C. da Silva · 1×
Citations per year

Countries citing papers authored by Francesco Gregoretti

Since Specialization
Citations

This map shows the geographic impact of Francesco Gregoretti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Francesco Gregoretti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Gregoretti more than expected).

Fields of papers citing papers by Francesco Gregoretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco Gregoretti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Francesco Gregoretti. The network helps show where Francesco Gregoretti may publish in the future.

Co-authors

The 25 scholars most cited alongside Francesco Gregoretti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesco Gregoretti Line = papers co-authored together Francesco Gregoretti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200853
2 201728
3 199718
4 202013
5 199813
6 201913
7 201612
8 198112
9 200310
10 20149
11 20189
12 20048
13 20197
14 20027
15 20086
16 20015
17 20145
18 20004
19 20044
20 19864

About Francesco Gregoretti

Francesco Gregoretti is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 33 papers that have together received 269 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (9 papers), CCD and CMOS Imaging Sensors (7 papers), Parallel Computing and Optimization Techniques (6 papers), Advanced Vision and Imaging (5 papers), VLSI and FPGA Design Techniques (4 papers), Neural Networks and Applications (4 papers), Interconnection Networks and Systems (4 papers) and Advanced DC-DC Converters (3 papers). The work is most often cited by research in Hardware and Architecture (55 citations), Computer Networks and Communications (99 citations), Computer Vision and Pattern Recognition (75 citations), Software (12 citations) and Electrical and Electronic Engineering (128 citations). Francesco Gregoretti has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Luciano Lavagno, Leonardo Reyneri, Mohammad Mozumdar, Stefano Olivieri, Alberto Broggi, G. Conte, Claudio Passerone, M. Ajmone Marsan, Mihai T. Lazarescu and Francesco Musolino. Their work appears in journals such as IEEE Access, IEEE Transactions on Education, IEEE Micro, IEEE Transactions on Power Electronics and Integrated Computer-Aided Engineering.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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